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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
936	Centers for Disease Control and Prevention	Html	en	Histoplasmosis Associated with a Bamboo Bonfire - Arkansas,October 2011	Dirk T. Haselow, MD, PhD1, Haytham Safi, MD1, David Holcomb, MS1, Nathaniel Smith, MD1, Kendall D. Wagner, MD2, Branson B.	Histoplasma-related laboratory results 0.625207 Histoplasma capsulatum yeast 0.690397 primary care providers 0.71569 serum antigen results 0.648883 standard case definitions 0.623255 Arkansas primary care 0.662067 red-winged blackbird roost 0.754672 children 0.636759 ADH communicable disease 0.613819 infectious diseases specialist 0.719963 probable cases 0.628207 histoplasmosis 0.976995 antigen test results 0.694859 histoplasmosis cases 0.734395 attendees 0.983607 phoeniceus) roost. 0.614765 Younger attendees 0.667709 vague abdominal pain 0.613986 case definition 0.651622 primary care provider 0.74757 illness onset 0.658887 diffuse pulmonary histoplasmosis 0.751033 local primary care 0.628303 histoplasmosis contamination 0.688599	Repeat CXRs 0.623976 Histoplasma yeast 0.736727 Histoplasma yeast antibody 0.669164 abnormal CXR 0.622935 serum antigen test 0.632692 diffuse infiltrative disease 0.61593 appropriate medical care 0.632946 family gathering 0.737778 pediatric infectious diseases 0.713837 positive Histoplasma yeast 0.691302 small bamboo fort 0.658835 Histoplasma mycelial immunoglobulin 0.69006 bamboo grove understory 0.663406 local county health 0.619075 acute respiratory histoplasmosis 0.742764 histoplasmosis tests 0.695547 pulmonary histoplasmosis 0.76875 mycelial antibody 0.632992 bamboo grove 0.68829 chest pain 0.641271 Arkansas county health 0.624657 primary care 0.762114 urine antigen test 0.624375 ill attendees 0.666752	CLICK HERE
1158	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Coccidioides immitis Identified inSoil Outside of Its Known Range - Washington, 2013	Nicola Marsden-Haug, MPH1, Heather Hill2, Anastasia P. Litvintseva, PhD3, David M. Engelthaler, MS4, Elizabeth M.	South America 0.718016 new direct evidence 0.78851 Coccidioides infection 0.786087 specific therapy 0.715004 Residual pulmonary nodules 0.814293 environmental isolate genotypes 0.811308 Human Services 0.778251 endemic area 0.724782 Coccidioides DNA 0.792707 public health authorities 0.796138 MMWR HTML versions 0.790525 U.S. Department 0.776503 nearby rodent burrows 0.797697 all-terrain vehicle 0.713889 electronic PDF version 0.790601 Washington State Public 0.830497 chain reaction assay 0.795319 southwestern United States 0.805331 Contact GPO 0.718261 public lands 0.710131 soil samples 0.963211 yeast extract medium 0.79199 clinical manifestations 0.724237 original paper copy 0.784317	mild cases 0.726714 illness onset 0.70995 clinical isolate 0.718523 nationally notifiable disease 0.793758 C. immitis 0.95473 Benton County 0.709609 original MMWR paper 0.798041 U.S. Government Printing 0.791175 chronic lung disease 0.810932 south central Washington 0.99589 health-care providers 0.795023 residential complex 0.710087 novel real-time polymerase 0.802109 environmental testing methods 0.806076 clinically compatible illness 0.792574 Washington cases 0.750584 acute coccidioidomycosis cases 0.913835 public health 0.803311 Translational Genomics Research 0.797069 community-acquired pneumonia 0.73481 Health Laboratories 0.71034 Viable C. immitis 0.885696 valley fever 0.719734 soil-dwelling fungi Coccidioides 0.936875	CLICK HERE
5975	Centers for Disease Control and Prevention	Html	en	Thallium (soluble compounds, as Tl) - NIOSH Pocket Guide to Chemical Hazards	null	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
8370	Centers for Disease Control and Prevention	Html	en	Evaluation and Management of Suspected Outbreaks of Meningococcal Disease - APPENDIX B, March 22, 2013	Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov.	mass vaccination campaign 0.732613 meningococcal disease outbreak 0.794174 organization-based outbreaks 0.835155 routine vaccination coverage 0.726595 outbreak settings 0.669537 common affiliation 0.677789 large outbreaks 0.681721 meningococcal disease outbreaks 0.818059 geographically contiguous population 0.709169 Public health personnel 0.673992 case 0.705881 additional cases 0.696776 substantial populations 0.698617 vaccination group 0.823185 general U.S. population 0.7109 public health officials 0.730929 age groups 0.7102 population 0.786544 meningococcal disease 0.977688 persons 0.709024 mass chemoprophylaxis 0.695367 certain organization-based outbreaks 0.714991 serogroup B outbreaks 0.73342 primary attack rate 0.728013	vaccination campaign comprise 0.71158 attack rates 0.772561 probable case 0.703939 community-based outbreak 0.677845 meningococcal outbreaks 0.772077 mass vaccination campaigns 0.721695 early case recognition 0.674333 community-based outbreaks 0.719126 general population 0.673991 clinically compatible illness 0.708595 disease attack rate 0.708361 massive public health 0.677284 case vaccination 0.69309 public health 0.759014 outbreak strain 0.672346 highest attack rates 0.678918 attack rate 0.77349 cases 0.791923 Age-specific attack rates 0.680798 mass vaccination 0.773721 geographically delineated community 0.67576 close contacts 0.704658 available vaccines 0.671321 risk 0.742174	CLICK HERE
9782	Centers for Disease Control and Prevention	Html	en	Youth Exposure to Alcohol Advertising on Television - 25Markets, United States, 2010	Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov.	underage audiences 0.387744 alcohol advertising impressions 0.470074 television media markets 0.428382 broadcast network sports 0.402311 alcohol advertisements 0.507732 denominator.§ Alcohol 0.42021 cable nonsports 0.386989 alcohol advertising 0.904392 youth viewers 0.391441 local underage audiences 0.375333 media markets 0.500739 public health surveillance 0.446815 youth audience composition 0.4074 local television markets* 0.394065 largest television markets 0.517958 Alcohol Alcohol 0.502701 industry standard 0.436095 total youth exposure 0.463776 broadcast network nonsports 0.402315 major metropolitan areas 0.39983 adolescent alcohol 0.410452 television universe estimates 0.400248 television advertising 0.433959 Advertising exposure 0.390237 Local People Meters 0.386034	youth exposure 0.795962 alcohol marketing 0.536589 Local People Meter 0.403121 local market television 0.382318 largest number 0.381762 United States 0.44202 program categories 0.388962 National Research Council/Institute 0.450595 cable sports 0.387005 local media markets 0.456237 Excessive alcohol consumption 0.453264 television programs 0.643044 total alcohol advertisements 0.461485 Federal Trade Commission 0.395595 New York 0.501289 national television advertisements 0.393321 alcohol outlet density 0.43188 alcohol companies 0.415185 national television programs 0.525586 alcohol industry 0.636089 alcohol excise taxes 0.432814 industry threshold 0.379584 David H. Jernigan 0.393135 cable television programs 0.399436	CLICK HERE
9907	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Stakeholders™ Interest in and Challenges to Implementing Farm-to-School Programs, Douglas County, Nebraska, 2010"2011 - CDC	Schools are uniquely positioned to influence the dietary habits of children, and farm-to-school programs can increase fruit and vegetable consumption among school-aged children. We assessed the feasibility of, interest in, and barriers to implementing farm-to-school activities in 7 school districts in Douglas County, Nebraska.	F2S activities 0.584609 local producers 0.628819 County Health Department 0.526709 local food hub 0.486253 Douglas County 0.68945 vegetable consumption 0.50418 local products 0.529169 food safety standards 0.489075 postassessment survey 0.484869 piloted F2S program 0.532342 FSDs 0.545958 school districts 0.656614 new F2S program 0.547981 previous F2S studies 0.524351 F2S coordinator 0.506314 distributors 0.489843 F2S 0.76229 F2S programming 0.519036 school food service 0.489831 food service directors 0.660896 schools 0.547371 F2S programs 0.738615 F2S portion 0.506733 stakeholder groups 0.488737 smaller school districts 0.531181	local food practices 0.51899 Nebraska Medical Center 0.492886 local food 0.774804 larger school districts 0.529163 local foods 0.900337 local food events 0.492418 F2S program 0.618752 mean score 0.55911 local food producers 0.557712 preassessment 0.597817 County school districts 0.481084 Douglas County Health 0.491353 Forty-one local producers 0.495279 procurement-based F2S programs 0.535588 willingness 0.491437 F2S education 0.507687 producers 0.635346 food safety 0.53175 barriers 0.528473 discusses general F2S 0.542432 County F2S program 0.553949 postassessment 0.603423 preassessment survey 0.488308 local food procurement 0.561068	CLICK HERE
10489	Centers for Disease Control and Prevention	Html	en	Email Updates: August 12, 2013'Clinicians Outreach and Communication Activity (COCA)	CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism.	CDC 0.969777 Public Health Matters 0.532799 Emergency Preparedness 0.495336 Respiratory Syndrome Coronavirus 0.762101 FDA Safety Information 0.484111 – (CDC) 0.630634 new avian influenza 0.488031 CDC Science Clips 0.733387 Additional COCA Conference 0.494579 deadly diseases 0.399726 CDC Influenza Division 0.700619 new H7N9 virus 0.479604 important safety information 0.468697 novel coronavirus 0.43388 health care providers 0.594752 Weekly Flu View 0.474222 Free CE credit/contact 0.470463 human medical products 0.457953 World Health Organization 0.508782 Current Travel Warnings 0.462403 public health officials 0.639047 seasonal flu 0.452049 public health risks 0.518397 recent ACIP recommendations 0.510738	Event Reporting Program 0.458708 recent vaccine recommendations 0.485611 East Respiratory Syndrome 0.827901 Respiratory Illness Associated 0.527093 CDC Health Alert 0.746839 Health Professionals 0.427117 COCA Email Update 0.528794 public health community 0.537596 Immunization Practices 0.406864 Advisory Committee 0.401722 public health 0.795142 Specific Hazards preparedness 0.489838 Middle East Respiratory 0.827968 available immunization resources 0.497259 in-person training centers 0.471267 FoodSafety.gov Reports FDA 0.47927 severe respiratory illness 0.657595 weekly influenza surveillance 0.469563 carbon monoxide poisoning 0.464146 adult providers 0.404246 flu season 0.40041 USDA Food Recalls 0.457235 Response Training Resources 0.484442 CDC subject matter 0.728394	CLICK HERE
12176	Centers for Disease Control and Prevention	Html	en	Estimated Influenza Illnesses and Hospitalizations Avertedby Vaccination - United States, 2013-14 Influenza Season	Carrie Reed, DSc1, Inkyu Kevin Kim, PhD1, James A. Singleton, PhD2, Sandra S Chaves, MD1, Brendan Flannery, PhD1, Lyn Finelli, DrPh1, Alicia Fry, MD1, Erin Burns1, Paul Gargiullo, PhD1, Daniel Jernigan, MD1, Nancy Cox, PhD1, Joseph Bresee, MD1 (Author affiliations at end of text).	influenza 0.990218 influenza illnesses 0.449957 influenza vaccination recommendation 0.470963 United States 0.47058 influenza vaccination coverage 0.734693 age group 0.431987 adults 0.313909 averted hospitalizations 0.331168 Risk Factor Surveillance 0.324233 Influenza Vaccine Effectiveness 0.446823 lowest influenza vaccination 0.538558 estimated hospitalization rates 0.317989 influenza hospitalization rates 0.44905 influenza disease 0.375489 Factor Surveillance Survey 0.324227 current influenza vaccination 0.469152 influenza medical visits 0.396093 influenza vaccination levels 0.526442 vaccination status 0.311089 influenza illness 0.38923 Healthy People 0.33277 universal influenza vaccination 0.475922 National Center 0.305592 influenza season 0.533703	influenza activity 0.419168 influenza vaccines 0.409176 chain reaction–positive influenza 0.423097 influenza vaccination 0.906088 vaccine effectiveness 0.605311 influenza virus circulation 0.44115 influenza seasons 0.416579 persons 0.43368 influenza hospitalizations 0.509246 medically attended illnesses 0.312213 vaccine effectiveness data 0.303437 Influenza Division 0.387587 influenza testing 0.442062 annual influenza vaccination 0.568167 influenza viruses 0.371064 influenza deaths 0.37379 2009 influenza pandemic 0.432659 influenza prevention 0.375694 Respiratory Diseases 0.303914 Vaccine effectiveness estimates 0.36917 fewer hospitalizations 0.367362 influenza-associated hospitalizations 0.308555 Behavioral Risk Factor 0.327177	CLICK HERE
13654	Centers for Disease Control and Prevention	Html	en	Disparities in Patterns of Health Care Travel Among Inpatients Diagnosed With Congestive Heart Failure, Florida, 2011	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	hospitals 0.486195 inpatients 0.399208 actual travel time 0.42421 care travel patterns 0.407233 no-charge patients 0.491322 privately insured patients 0.385579 distant hospitalization 0.533721 shortest excess travel 0.395027 HSAs influence patients 0.401865 different travel patterns 0.407488 individual discharge records 0.4012 median household income 0.466136 travel distance 0.3944 population-weighted centroid 0.402583 logistic models 0.491858 patients 0.831823 secondary road network 0.397301 large metropolitan patients 0.389455 local hospital supply 0.423159 linear regression models 0.581108 travel time 0.944499 HSAs 0.433759 large metropolitan areas 0.404067 hospital patients 0.385794	self-pay patients 0.407874 Congestive heart failure 0.410739 local patients 0.396948 major public health 0.41275 local/distant hospitalization 0.387294 CHF patients 0.528353 postal zone 0.428104 increased travel time 0.408688 shorter excess travel 0.390227 local hospitals 0.388228 large metropolitan area 0.458777 health care 0.412667 local hospital resources 0.468398 multiple logistic regression 0.406172 small metropolitan area 0.459226 local hospitalization 0.863129 travel patterns 0.771854 excess travel time 0.921337 Long travel distance 0.38677 linear models 0.403321 public health problem 0.412746 policy makers 0.388804 logistic regression models 0.412228 continuous travel time 0.394126	CLICK HERE
15956	Centers for Disease Control and Prevention	Html	en	Divergent Perceptions of Barriers to Diabetic Retinopathy Screening Among Patients and Care Providers, Los Angeles, California, 2014-2015	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	patient screening compliance 0.507887 routine screening 0.482375 patient barriers 0.527595 low-income minority patients 0.561934 annual DR screening 0.520807 retinal eye screening 0.562502 diabetic eye disease. 0.491111 diabetic eye 0.521746 DR screening program 0.514328 annual screening rate 0.493211 additional barriers 0.488001 health care providers 0.670063 annual diabetic retinopathy 0.488533 safety-net health center 0.474903 DR screening rates 0.548179 diabetes retinal screening 0.535187 patients 0.782869 minority patients 0.599972 racial/ethnic minority patients 0.523414 diabetic eye disease 0.48803 multiple patient barriers 0.517001 diabetic retinopathy screening 0.783037 adequate diabetes care 0.483776 important intellectual content 0.501195	potential internal barriers 0.499871 retinopathy screening rates 0.549243 study 0.481368 provider staffers 0.47914 diabetic patients 0.47552 staffers 0.512565 following potential barriers 0.568243 Biomedical Research Institute 0.495015 diabetes care 0.574463 DR screening rate 0.529018 Specific barriers 0.487984 low screening rate 0.495945 low-income patients 0.493743 timely DR screening 0.522817 DR screening 0.914753 DR screening exist 0.517861 external barriers 0.482745 barriers 0.695684 et al 0.522802 Los Angeles 0.543987 American Diabetes Association 0.510442 screening rates 0.587772 low screening rates 0.56477 diabetes 0.632569	CLICK HERE